Chung-Hua University Repository:Item 987654321/31275
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 8557/14866 (58%)
Visitors : 1990766      Online Users : 1156
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/31275


    Title: GA-based keyword selection for the design of an intelligent web document search system
    Authors: 李建興
    Lee, Chang-Hsing
    Contributors: 資訊工程學系
    Computer Science & Information Engineering
    Keywords: web document classification;keyword extraction;genetic algorithm;vector space method
    Date: 2009
    Issue Date: 2014-06-27 01:24:43 (UTC+8)
    Abstract: The main steps for designing an automatic document classification system include feature extraction
    and classification. In this article a method to improve feature extraction is proposed. In this
    method, genetic algorithm was applied to determine the thre
    Appears in Collections:[Department of Computer Science and Information Engineering] Journal Articles

    Files in This Item:

    File Description SizeFormat
    p_e331_0089.pdf27KbAdobe PDF145View/Open


    All items in CHUR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback